Intelligent Information Retrieval Model for Digital Documents in Title Insurance
- Title
- Intelligent Information Retrieval Model for Digital Documents in Title Insurance
- Creator
- Guha, Abhijit
- Contributor
- Samanta, Debabrata
- Description
- Documents have been pivotal in shaping human history by preserving knowledge and newlineenabling the transmission of ideas across generations and cultures. They have facilitated the establishment of legal systems, institutions, and governance, fostering societal order and progress. Additionally, documents serve as a collective memory, chronicling the achievements and lessons learned, enriching the human experience. Transforming documents from physical to digital format has revolutionized how we access, store, and share information in the digital age. This transition, enabled by technological advances, began with the invention of the scanner, which allowed for newlinethe digital capture of images and text. Optical Character Recognition (OCR) technology that can convert scanned documents into searchable, editable digital texts further streamlined this process. As the storage capacity and internet speeds have increased, digitization has become more accessible and widespread. Cloud-based storage solutions, such as Google Drive and Dropbox, now allow users to store, access, and share digital documents from anywhere with an internet connection. This has improved collaboration and communication and reduced the need for physical storage space. The digitization of documents has also significantly impacted the environment, with paper consumption decreasing and many industries carbon footprint reducing. Libraries and archives have transformed digitally, making vast information more easily accessible and preserving vital historical records for future generations. This digital shift has democratized knowledge, granting people worldwide access to resources that were once limited newlineto those with physical proximity to the material.
- Source
- Author's Submission
- Date
- 2023-01-01
- Publisher
- Christ(Deemed to be University)
- Subject
- Data Science
- Rights
- Open Access
- Relation
- 61000277
- Format
- Language
- English
- Type
- PhD
- Identifier
- http://hdl.handle.net/10603/533972
Collection
Citation
Guha, Abhijit, “Intelligent Information Retrieval Model for Digital Documents in Title Insurance,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 21, 2025, https://archives.christuniversity.in/items/show/12323.